Proudly accepted into the NVIDIA Inception Program.
This validates LURA — our GPU-accelerated 3D tumor simulation engine — and unlocks NVIDIA’s top-tier GPU resources, technical support, and co-marketing. We’re already running millions of parallel causal experiments in hours on A100s. With Inception, we’re accelerating even harder: deeper TME modeling, sub-100ms screens, and faster pilot rollouts for oncology teams. Momentum building as we raise $2M to put LURA in drug discovery pipelines worldwide.
Flat dishes. Real tumors. Wrong bets.
Ninety percent of oncology programs fail in human trials. Plastic plates ignore stromal shells, chaotic vasculature, and hypoxic cores. LURA is the computational filter upstream of wet-lab spend — physics and biology, not another scoreboard.
LURA closes the last mile.
Most tools stop at a rank. Teams still assemble the story by hand. LURA screens at campaign scale, promotes survivors, confirms with mechanism and spatial physics, and exports one governed Pilot Package.
Traditional oncology discovery wastes billions on candidates that fail due to unmodeled 3D barriers and mechanisms. LURA's physics + AI approach cuts through that — delivering 10–20× faster insights, validated accuracy, and sub-second responses so teams focus on winners.

Elisha Sannousi
Co-Founder | Clinical & Translational Engineer (M.S. Translational Medicine, Bioengineering)

Samuel Tandeka
Co-Founder | Engineering Management & Business Development (M.S. Engineering Management) (B.S. Electrical Eng.)





